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MathWorks x CUES: A practical introduction to Machine Learning with MATLAB

February 5 @ 16:00 - 17:00

Overview

In this third session of the MathWorks @CUES webinar series, Francesco will demonstrate practical workflows for machine learning in MATLAB.

Highlights

  • Learn the fundamentals of machine learning and understand terms like “supervised learning”, “feature extraction”, and “hyperparameter tuning”
  • Build and evaluate machine learning models for classification and regression
  • Perform automatic hyperparameter tuning and feature selection to optimize model performance
  • Apply signal processing and feature extraction techniques
  • Generate automated C/C++ code for embedded and high-performance applications (demonstration only)

Who Should Attend

Undergraduate and postgraduate students with an interest in computational problem-solving for engineering, scientific or mathematical applications.

Details

Date:
February 5
Time:
16:00 - 17:00
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